softmax-converts-outputs-to-posterior-probabilities

IN premise — entries/2026/06/21/wiki-Neural_network_28machine_learning29-chunk-5.md

Created 2026-06-21T09:55:51+00:00

The softmax function (y_i = e^(x_i) / sum_j(e^(x_j))) converts raw output scores into a probability distribution over classes, interpretable as posterior probabilities for classification.